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阻塞性睡眠呼吸暂停的精准医学

Precision Medicine for Obstructive Sleep Apnea.

作者信息

Light Matthew, Owens Robert L, Schmickl Christopher N, Malhotra Atul

机构信息

Division of Pulmonary, Critical Care and Sleep Medicine, University of California San Diego, 9300 Campus Point Drive #7381, La Jolla, CA 92037-7381, USA.

Division of Pulmonary, Critical Care and Sleep Medicine, University of California San Diego, 9300 Campus Point Drive #7381, La Jolla, CA 92037-7381, USA.

出版信息

Sleep Med Clin. 2019 Sep;14(3):391-398. doi: 10.1016/j.jsmc.2019.05.005. Epub 2019 Jul 4.

Abstract

Increasingly, obstructive sleep apnea treatment is being recognized as amenable to a precision medicine approach. Many pathophysiologic mechanisms (endotypes) beyond anatomic compromise have now been identified and are readily determined during polysomnography, although randomized controlled trials of endotype-specific therapies are needed. Research indicates that endotypes may also be important in predicting both adherence to therapy and disease consequences (phenotypes). Biomarker discovery and Big Data approaches derived from wearable technology are areas of active investigation and may allow more robust conclusions to be drawn over time, such that patients may soon fully realize the benefits from fresh insights into sleep science.

摘要

越来越多的人认识到,阻塞性睡眠呼吸暂停的治疗适合采用精准医学方法。目前已经确定了许多超出解剖结构受损范围的病理生理机制(内型),并且在多导睡眠图检查过程中很容易确定,不过仍需要针对内型特异性疗法进行随机对照试验。研究表明,内型在预测治疗依从性和疾病后果(表型)方面可能也很重要。可穿戴技术衍生出的生物标志物发现和大数据方法是正在积极研究的领域,随着时间的推移可能会得出更有力的结论,从而使患者可能很快就能充分从睡眠科学的新见解中受益。

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